Noa Lamm

862 citations
16 papers · 539 indexed · h-index 11

Impact in

  • Aging top 10%
    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • Nuclear Structure and Function
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • Pluripotent Stem Cells Research

Papers in

Noa Lamm

14 papers receiving 535 citations

Peers

Noa Lamm
Comparison fields: 5 of 69
  • Aging 30
  • Molecular Biology 437
  • Physiology 153
  • Cell Biology 82
  • Cancer Research 35
Replace Peter Arrazola with:
Peter Arrazola United States
Tina Wagner Germany
Nickolaos Nikiforos Giakoumakis Greece
Nikolaos Doumpas Switzerland
Deborah Pajalunga Italy
Anne R. Wondisford United States
Si‐Qi Chen China
Quazi Shakey Canada
Sharif Iqbal Finland
Valerie J. Carpenter United States
Noa Lamm relative to Peter Arrazola United States Peter Arrazola's profile →
Citations per field
00.5×10.2×
Peter Arrazola · 1×
Citations per year

Countries citing papers authored by Noa Lamm

Since Specialization
Citations

This map shows the geographic impact of Noa Lamm's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Noa Lamm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noa Lamm more than expected).

Fields of papers citing papers by Noa Lamm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noa Lamm. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Noa Lamm. The network helps show where Noa Lamm may publish in the future.

Co-authors

The 25 scholars most cited alongside Noa Lamm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Noa Lamm Line = papers co-authored together Noa Lamm links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2013106
2 202097
3 201579
4 202041
5 202139
6 201933
7 201933
8 200931
9 201528
10 202024
11 200521
12 20245
13 20251
14 20161
15 20250
16 20120

About Noa Lamm

Noa Lamm is a scholar working on Aging, Physiology, Cell Biology, Molecular Biology and Biotechnology, having authored 16 papers that have together received 539 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (10 papers), Telomeres, Telomerase, and Senescence (7 papers), Microtubule and mitosis dynamics (4 papers), Nuclear Structure and Function (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Pluripotent Stem Cells Research (2 papers), Chromosomal and Genetic Variations (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Aging (30 citations), Molecular Biology (437 citations), Physiology (153 citations), Cell Biology (82 citations) and Cancer Research (35 citations). Noa Lamm has collaborated with scholars based in Australia, Israel and United States. Frequent co-authors include Anthony J. Cesare, Samuel Rogers, Batsheva Kerem, Yehuda Tzfati, V. Pragathi Masamsetti, Tamar Golan‐Lev, Nissim Benvenisty, Uri Ben‐David, Zuzana Štorchová and Memet Aker. Their work appears in journals such as Nature Communications, Genes & Development, Neurodegenerative Diseases, Progress in Biophysics and Molecular Biology and Nature Cell Biology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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